Built-Up Area Extraction From High Temporal Resolution GF-4 Images
- Resource Type
- Conference
- Authors
- Ren, Yuhuan; Liu, Yalan
- Source
- IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2019 - 2019 IEEE International. :6348-6351 Jul, 2019
- Subject
- Aerospace
Geoscience
Signal Processing and Analysis
Remote sensing
Time series analysis
Satellites
Land surface
Earth
Data mining
Decision trees
Built-up area extraction
decision tree
NDWI
NDVI
GF-4
time series images
- Language
- ISSN
- 2153-7003
Although satellite remote sensing imagery is suitable for mapping and monitoring the built-up areas, the application of built-up area extraction techniques in the literatures is still constrained by low accuracy in various situations. As the GF-4 satellite is one of the few moderate spatial resolution geostationary orbit remote sensing satellites, the purpose of this study is to introduce a method that consistently improves the accuracy of built-up area extraction by utilizing the temporal characteristics of the dense time series of GF-4 images. The results indicate that the proposed method can effectively extract built-up areas and improve the accuracy of the results significantly especially in the presence of surface water bodies.